Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization.
Brian KingsburyTara N. SainathHagen SoltauPublished in: INTERSPEECH (2012)
Keyphrases
- bayes risk
- neural network
- acoustic models
- speech recognition
- training process
- hidden markov models
- upper and lower bounds
- loss function
- training set
- discriminative training
- automatic speech recognition
- speech recognizer
- pattern recognition
- reproducing kernel hilbert space
- broadcast news
- vector quantization
- training samples
- maximum likelihood
- principal component analysis
- probabilistic model
- machine learning
- data sets